scholarly journals The Stability of the Model and Simulation, Control Issues for Ship System, Education, and Research

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Nguyen Cong Danh
Keyword(s):  
Pid Controller ◽  
Control Methods ◽  
Control Parameters ◽  
Ship Model ◽  
Model And Simulation ◽  
Simulation Results ◽  
Research And Education ◽  
The Stability ◽  
Operation Cycle ◽  
Selection Of

This article deals with the study of mathematical models and the assessment of the stability of the motion of ships, investigating properties of the system such as kinetics and stability. This is essential for the selection of suitable control methods according to the requirements set out for the problem. Some control methods require the author to specify control parameters before the operation of the system can be started. Therefore, the survey of the article is useful for the above problem. Control methods through simulation results (PID controller, lag compensator, and lead compensator) give me results that reflect properties of the system (the stability of the operation cycle of the ship model). In addition, control methods for this model, which serve for research and education, are also presented below. Simulation is done by Matlab.

Dynamic modeling and design of controller for the 2-DoF serial chain actuated by a cable-driven robot based on feedback linearization

2021 ◽  
pp. 095440622110279
Author(s):  
Vahid Bahrami ◽  
Ahmad Kalhor ◽  
Mehdi Tale Masouleh
Keyword(s):  
Dynamic Modeling ◽  
Pid Controller ◽  
Feedback Linearization ◽  
Tracking Error ◽  
Pid Controllers ◽  
Serial Chain ◽  
Simulation Results ◽  
The Stability ◽  
Feedback Linearization Approach ◽  
Bounded Disturbance

This study intends to investigate a dynamic modeling and design of controller for a planar serial chain, performing 2-DoF, in interaction with a cable-driven robot. The under study system can be used as a rehabilitation setup which is helpful for those with arm disability. The latter goal can be achieved by applying the positive tensions of the cable-driven robot which are designed based on feedback linearization approach. To this end, the system dynamics formulation is developed using Lagrange approach and then the so-called Wrench-Closure Workspace (WCW) analysis is performed. Moreover, in the feedback linearization approach, the PD and PID controllers are used as auxiliary controllers input and the stability of the system is guaranteed as a whole. From the simulation results it follows that, in the presence of bounded disturbance based on Roots Mean Square Error (RMSE) criteria, the PID controller has better performance and tracking error of the 2-DoF robot joints are improved 15.29% and 24.32%, respectively.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

A Fuzzy Controller for Tentacle Cooperative Robots

2001 ◽  
Author(s):  
Mircea Ivanescu ◽  
Nicu Bizdoaca ◽  
Dorian Cojocaru ◽  
Nirvana Popescu ◽  
Decebal Popescu
Keyword(s):  
Control Strategy ◽  
Fuzzy System ◽  
Fuzzy Controller ◽  
Control Algorithms ◽  
Control Parameters ◽  
Software Simulation ◽  
Contact Points ◽  
Simulation Results ◽  
Hard Contact ◽  
The Stability

Abstract A fuzzy system and the control algorithms are proposed to solve the control multi-chain robotic system formed by tentacle manipulators grasping a commune object with hard contact points. The control system contains two parts: the first component is a conventional controller, which implements a control strategy based on the Lyapunov stability, and the second is an adaptive fuzzy controller which adjusts the control parameters by the output of the first level controller. The stability and robustness is investigated and the fuzzy rules are established The fuzzy controller was developed using Matlab and Simulink software. Simulation results are presented and discussed.

Bifurcation Control of in Morris-Lecar Neuron Model via Washout Filter with a Linear Term Based on Filter-Aided Dynamic Feedback

2012 ◽  
Vol 485 ◽  
pp. 600-603 ◽  
Author(s):  
Hai Long Duan ◽  
Cheng Kun Cui ◽  
Chun Xiao Han ◽  
Yan Qiu Che
Keyword(s):  
Electrical Stimulation ◽  
Stability Criterion ◽  
Neuron Model ◽  
Linear Control ◽  
Control Parameters ◽  
Dynamic Feedback ◽  
Hurwitz Stability ◽  
Washout Filter ◽  
Simulation Results ◽  
The Stability

In this paper, based on Routh-Hurwitz stability criterion, the linear control term of washout filter-aided dynamic feedback controller is added to the Morris-Lecar (ML) system to stabilize the bifurcation. We deduce the linear control parameters according to the stability criterion, and the simulation results indicate that the controller is effective to stabilize ML model. In addition, electrical stimulation is selected as an output of the controller, thus it may provide theoretical guidance for clinical diagnosis and therapy of dynamical diseases.

Study on the Speed Control of a Marine Diesel Based on Fuzzy RBF-PID Strategy

2012 ◽  
Vol 241-244 ◽  
pp. 1255-1260
Author(s):  
Qing Fu Kong ◽  
Fan Ming Zeng ◽  
Jie Chang Wu ◽  
Jia Ming Wu
Keyword(s):  
Working Conditions ◽  
Basis Function ◽  
Pid Controller ◽  
Speed Control ◽  
Control Parameters ◽  
Control Effect ◽  
Complex Objects ◽  
Rbf Network ◽  
Marine Diesel ◽  
Simulation Results

It is very important to enhance the speed control effect of marine diesels. However, marine diesels are typical complex objects; sometimes it is difficult to achieve the control goals of the diesel speed with traditional PID strategy due to its fixed control parameters under all working conditions. In order to improve the speed control effect of marine diesels, the intelligent fuzzy RBF-PID strategy, which is integrated by fuzzy, Radical Basis Function (RBF) network and PID strategies, is presented in the paper. Development of the fuzzy RBF-PID controller is discussed in detail. Finally, the validity of the fuzzy RBF-PID strategy for the speed control of marine diesels is verified by simulation results.

scholarly journals Controlling Neimark-Sacker Bifurcation in Delayed Species Model Using Feedback Controller

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Jie Ran ◽  
Yanmin Liu ◽  
Jun He ◽  
Xiang Li
Keyword(s):  
Fixed Point ◽  
Feedback Control ◽  
Convergence Rate ◽  
Approximation Theory ◽  
Control Method ◽  
Control Methods ◽  
Control Parameters ◽  
Random Intensity ◽  
Feedback Control Method ◽  
The Stability

Based on the stability and orthogonal polynomial approximation theory, the ordinary, dislocated, enhancing, and random feedback control methods are used to suppress the Neimark-Sacker bifurcation to fixed point in this paper. It is shown that the convergence rate of enhancing feedback control and random feedback control can be faster than those of dislocated and ordinary feedback control. The random feedback control method, which does not require any adjustable control parameters of the model, just only slightly changes the random intensity. Finally, numerical simulations are presented to verify the effectiveness of the proposed controllers.

Nonlinear Immune PID Controller and its Application to the Heat Milling System’s Material-Level Control

2011 ◽  
Vol 383-390 ◽  
pp. 743-749
Author(s):  
Jiu Qing Liu ◽  
Wei Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Feedback Mechanism ◽  
Control Technique ◽  
Level Control ◽  
Stability Robustness ◽  
Nonlinear Pid Controller ◽  
Simulation Results ◽  
And Performance ◽  
The Stability

Based on the fusion of immune feedback mechanism for the conventional PID control technique, a new immune nonlinear PID controller is proposed in this paper. The stability of immune nonlinear PID is analysised using Popov stability criterion. The controller designed not only guarantees the stability robustness and performance robustness of the system but also the tracking performance of the system. The numerical simulation results of the Material-level control of the heat milling system show the effectiveness and feasibility of our immune unlinear PID are verified in Mat lab.

Design and Simulation Analysis of Tamper System for Multifunction-Paver

2011 ◽  
Vol 268-270 ◽  
pp. 875-880
Author(s):  
Guo Yang Wu
Keyword(s):  
Simulation Model ◽  
Vibration Frequency ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Response Speed ◽  
Hydraulic Impact ◽  
Simulation Results ◽  
The Stability

In this article, the tamper system of multifunction- paver has been simulated by AMESim, and the simulation model of the tamper system of multifunction- paver has been established. The simulation results show that the hydraulic impact of the system will be decreased and the response speed of the system will be improved, when accumulator and PID controller are equipped. Simultaneously, the stability of vibrated system will go down with the increase of vibration frequency. When vibration frequency is over 20 HZ, the performance of system will go bad, and the vibration of system will be significantly enhanced.

A Dynamic Fuzzy Neural Networks-Based Surface Vessels Course Tracking Controller

2014 ◽  
Vol 644-650 ◽  
pp. 122-127
Author(s):  
Yang Wang ◽  
Li Li Guo ◽  
Chen Guo
Keyword(s):  
Neural Networks ◽  
Tracking Control ◽  
Pid Controller ◽  
Fuzzy Neural Networks ◽  
Control Methods ◽  
Intelligent Algorithm ◽  
Surface Vessels ◽  
Tracking Controller ◽  
Fuzzy Neural ◽  
Simulation Results

A Dynamic Fuzzy Neural Networks Course Tracking Controller (DFNNCTC) for Surface Vessels is presented to solve the uncertainties coursing by the wide and wave. A Dynamic Fuzzy Neural Networks (DFNN) combines with a PID controller to integrate the DFNNCTC, in which the structure and parameters are adjusted online, and the fuzzy rules are automatically generated when being trained. The intelligent algorithm conquers the disadvantage of either overfitting or overtraining in traditional static fuzzy neural networks-based control methods. Simulation results of a container’s course tracking control validate the effectiveness of the proposed algorithm.

Simulation Technologies for Tamper System of Asphalt-Paver Based on AMESim

2010 ◽  
Vol 129-131 ◽  
pp. 1098-1103 ◽  
Author(s):  
Tian Hong Luo ◽  
Xin Fu Gan ◽  
Wen Jun Luo
Keyword(s):  
Mathematical Model ◽  
Simulation Model ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Operating Principle ◽  
Simulation Results ◽  
The Stability ◽  
The Mathematical Model

Tamper mechanism is one of the most important parts in all of Asphalt-pavers. In this article, the mathematical model of the tamper system has been established and the stability of the system has been analyzed by using Matlab. According to the operating principle of tamper system of Asphalt-paver, the simulation model of tamper system of Asphalt-paver has been established by using AMESim. The main parameters of the model were set, and then, the simulation results were analyzed, which show that the system is stable and the dynamic performance of system will be improved, when accumulator and PID controller were equipped. Besides, the tamping frequency of hammer is very important to the performance of system. When tamping frequency of hammer over 20HZ, the performance of system will go bad.

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